光学学报, 2020, 40 (5): 0512003, 网络出版: 2020-03-10   

基于自适应条纹的高反光表面三维面形测量方法 下载: 1399次

Three-Dimensional Shape Measurement Method of High-Reflective Surfaces Based on Adaptive Fringe-Pattern
作者单位
湖北工业大学机械工程学院现代制造质量工程湖北省重点实验室, 湖北 武汉 430068
摘要
提出了一种基于图像融合和插值预测的自适应条纹投影方法。该方法首先基于多幅掩模图像融合求取了最佳投影灰度值所需的饱和阈值,并结合插值预测查找算法求得了最佳投影灰度值;然后通过降低整体投影强度,在不饱和情况下进行了坐标匹配,最终生成自适应条纹;最后将生成的自适应条纹投射至被测物体,并利用外差式多频相移法进行了相位解算和三维面形重构。实验结果表明:所提方法实现了局部过曝区域的相位信息的完整提取,绝对方向和正向的平均误差与标准偏差值均小于传统方法,且绝对方向平均误差减少了84.1%,正向标准偏差值减少了69.4%。所提方法有效地解决了高反光物体三维面形测量的难题。
Abstract
An adaptive fringe-pattern projection method based on image fusion and interpolation prediction is proposed. Firstly, based on multi-mask image fusion, the saturation threshold required for the optimal projection gray value is obtained, and the optimal projection gray value is obtained by combining interpolation prediction and search algorithm. Then, by reducing the overall projection intensity, the coordinate matching is carried out in the unsaturated condition, and the adaptive fringe is finally generated. Finally, the generated adaptive fringe is projected to the object to be measured, and the phase solution and three-dimensional shape reconstruction are performed by heterodyne multi-frequency phase shift method. The experimental results show that the phase information in local over-exposure region can be obtained completely by the proposed method, the average error and standard deviation in absolute direction and forward direction are smaller than those obtained by traditional method, and the average error in absolute direction is reduced by 84.1% and the standard deviation in forward direction is reduced by 69.4%. The proposed method effectively solves the difficult problem of 3D shape measurement of high-reflective surfaces.

冯维, 汤少靖, 赵晓冬, 赵大兴. 基于自适应条纹的高反光表面三维面形测量方法[J]. 光学学报, 2020, 40(5): 0512003. Wei Feng, Shaojing Tang, Xiaodong Zhao, Daxing Zhao. Three-Dimensional Shape Measurement Method of High-Reflective Surfaces Based on Adaptive Fringe-Pattern[J]. Acta Optica Sinica, 2020, 40(5): 0512003.

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